fresh block

100%

✓ Published0🌍 Public

Last edited Jun 16, 2017

Created on Jun 16, 2017

This example plots three countries as circles on a yellow SVG canvas, positioning each by health (y-axis) and wealth (x-axis). Circle size encodes population, while color reflects continent using a d3.scaleOrdinal mapping Europe and Asia to red and green. The visualization uses d3.scaleLinear for health, d3.scaleLog for wealth, and d3.scaleSqrt for population, applied to circles appended to the SVG. The data is from a hardcoded array containing country names, populations, health scores, wealth values, and continent assignments.

AI-generated description

Built with blockbuilder.org

mit Licensed

Similar vizzes

Loading thumbnail…

fresh block

This visualization is a bubble chart that plots countries by wealth (GDP per capita, on a logarithmic x-axis) against health (life expectancy at birth, on a linear y-axis). Each circle’s radius encodes population using a square-root scale, while its color maps the continent via an ordinal scale with the `d3.schemeCategory10` palette. The SVG is rendered with D3 v4, using `d3.axisBottom` and `d3.axisLeft` for labeled axes, and the data is loaded from a CSV with `d3.csv`.

PPierreLrnt

89% match

Loading thumbnail…

fresh block

This example visualizes global health and wealth data by plotting circles for each country on logarithmic and linear scales. The x-axis shows GDP per capita (wealth), the y-axis shows life expectancy (health), and circle radius encodes population size, with colors representing continents. The visualization is built with D3 v4, using SVG rendering, and employs `d3.scaleLog`, `d3.scaleLinear`, and `d3.scaleSqrt` for positioning and sizing. Data is loaded from a CSV file, with axes labeled in French for per-capita income and life expectancy at birth.

CClaraGriot

88% match

Loading thumbnail…

fresh block

This example visualizes global health and wealth data as a bubble chart, where each circle represents a country positioned by life expectancy (y-axis) and GDP per capita (x-axis), with circle size encoding population and color encoding continent. It uses D3 v4’s scales (`scaleLinear`, `scaleLog`, `scaleSqrt`, `scaleOrdinal`) to map variables and renders SVG circles with axes labeled accordingly. The code loads CSV data via `d3.csv` and applies sorting by population, while styling uses opacity and a light grey background. The chart focuses on comparing country-level indicators, with axes labeled in French.

CClaraGriot

86% match

Loading thumbnail…

fresh block

A scatterplot maps average GDP per capita against life expectancy, with circle size encoding population and color indicating geographic region. The SVG visualization uses D3 v4’s `scaleLinear` and `scaleSqrt` to position and size circles, loading data from `gapminder_avg.csv`. Each point is rendered with a black stroke and fill opacity adjusted for overlap, revealing broad correlations between wealth, longevity, and population across nations.

LLiddler

84% match

Loading thumbnail…

fresh block

A bubble chart maps life expectancy against GDP per capita, with each circle sized by population and colored by continent, using data from a `recent.csv` file. The SVG visualization employs `d3.scaleLog` for the x-axis, `d3.scaleLinear` for the y-axis, `d3.scaleSqrt` for circle radii, and `d3.scaleOrdinal` with `d3.schemeCategory10` for colors, sorted by descending population. Axis labels are added via `d3.axisBottom` and `d3.axisLeft`.

PPierreLrnt

81% match

Loading thumbnail…

fresh block

This example visualizes global health and economic trends using a Gapminder-style scatterplot. Each circle represents a country, positioned by life expectancy (x-axis) and fertility rate (y-axis), with circle size encoding population and color representing geographic region. The visualization animates through years 1964 to 2013, showing how countries move across the chart as their metrics evolve. The data, loaded from a CSV, includes fields for country, year, fertility, life expectancy, population, child mortality, and GDP. Using D3 v5 and SVG rendering, the chart emphasizes the relationship between health outcomes and economic development over time, with a transition effect revealing changing distributions across decades. The visualization is minimal and functional, with axes labeling life expectancy and fertility, and a legend for regions.

JJuanma-GP

81% match

Loading thumbnail…

fresh block

This example, built with D3 v5 and SVG, visualizes a Gapminder-style dataset using a bubble chart. The x-axis represents GDP per capita, the y-axis shows life expectancy, circle size encodes population, and color maps to geographic region. The chart animates through years 1964 to 2013, showing how countries' development indicators evolve over time. A play button and time slider allow users to scrub through the years, with circles transitioning smoothly between states. The visualization highlights global trends in health and wealth, with tooltips providing country-specific data on mouseover.

AAitorCCE

81% match

Loading thumbnail…

fresh block

This example animates the classic Gapminder bubble chart, mapping fertility, life expectancy, and population over time. It uses D3 v5 to render SVG circles, with x position encoding GDP per capita, y position encoding life expectancy, and circle size encoding population, while color distinguishes world regions. The chart plays through decades of country-level data, showing how nations move across the socioeconomic landscape as development indicators shift.

AAitorCCE

80% match